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Summary:
For better readability and robust edge-case handling, explicitly separate quantization granularity cases (per-tensor, per-row, per-block) with early returns for simpler cases.

Test plan:
test/quantization/quantize_/workflows/float8/test_float8_tensor.py

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pytorch-bot bot commented Nov 16, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3345

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@meta-cla meta-cla bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Nov 16, 2025
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@pytorchbot label "topic: not user facing"

@pytorch-bot pytorch-bot bot added the topic: not user facing Use this tag if you don't want this PR to show up in release notes label Nov 16, 2025
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